949 search results - page 8 / 190 » From dynamic classifier selection to dynamic ensemble select... |
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
PRL
2008
13 years 7 months ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
AIPRF
2007
13 years 9 months ago
2007
This paper presents experiments on classifying web pages by genre. Firstly, a corpus of 1539 manually labeled web pages was prepared. Secondly, 502 genre features were selected ba...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
IVC
2006
13 years 7 months ago
2006
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...